Latest UK roles, updated daily.
The Principal Scientist role involves working with the Genomic Technologies team to analyze large-scale genetic data, identify causal gene-phenotype links, and develop methods for genetic and genomic data analysis. The role requires expertise in statistical genetics, programming skills in R or Python, and experience with large biobank datasets.
The Medical Director, Oncology Clinical Development - GI, provides medical expertise and oversight for clinical studies, ensuring patient safety and clinical integrity. The role involves leading medical monitoring, interpreting clinical data, and collaborating with cross-functional teams to advance oncology treatments.
This role involves leading CMC regulatory strategy for global mRNA product development, preparing and reviewing regulatory submissions, and guiding cross-functional teams on compliance and agency interactions. The position requires deep expertise in biologics CMC regulations, particularly in EU and ROW markets, and plays a key part in shaping regulatory pathways across vaccines, oncology, and rare diseases. Based at the Harwell site, it emphasizes in-office collaboration within a multidisciplinary team.
This role involves hands-on execution of immunoassay development, qualification, and clinical sample testing to support Moderna's clinical trials. The technician will prepare reagents, conduct analyses, ensure data quality, and maintain compliance with regulatory standards in a laboratory setting. The position requires full-time on-site work with occasional overtime and is embedded in a collaborative, regulated environment focused on high-quality bioanalytical output.
This role involves pioneering research in synthetic biology, focusing on genome synthesis and genetic isolation to enable safe, scalable biotechnological applications. The postdoctoral fellow will develop novel methods for genome recoding, engineer synthetic genetic codes, and contribute to foundational work in making biology programmable. Work integrates experimental and computational approaches within a multidisciplinary, mission-driven research environment.
This role involves designing and executing experiments to develop next-generation platforms for continuous evolution, focusing on engineering orthogonal replication systems that enable rapid gene evolution while maintaining host viability. The researcher will analyze complex datasets using computational tools, contribute to novel methodologies, and collaborate across multidisciplinary teams to advance fundamental and applied research in generative biology. Emphasis is placed on innovation in evolutionary systems, mentoring junior scientists, and translating discoveries into real-world applications in health and sustainability.
This role involves servicing, installing, repairing, and calibrating sophisticated diagnostic systems in pathology departments and NHS laboratories. You will support flow cytometry, cell separation, and diagnostics products, requiring a strong background in electronics or electro-mechanical service and excellent customer service skills.
This role involves servicing, installing, repairing, and calibrating sophisticated medical diagnostic systems in pathology departments and NHS laboratories. You will support flow cytometry, cell separation, and diagnostics products, ensuring they function optimally at customer sites.
This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will lead end-to-end technical deployments, build production-grade API integrations and data pipelines, and act as a technical liaison between customers and internal research teams. A strong background in ML infrastructure, cloud platforms, and customer-facing delivery in life sciences is essential.
Design and develop novel generative machine learning models for protein design, integrating with wet lab experiments to validate performance in real-world biological contexts. Collaborate closely with interdisciplinary teams of researchers, engineers, and biologists while maintaining robust, scalable code and infrastructure. Focus on rapid prototyping, model optimization, and continuous learning from experimental feedback to advance synthetic biology.
This role involves managing clinical trial sites across Phase I–IV studies, ensuring protocol compliance, data integrity, and patient safety. The Clinical Research Associate conducts site visits, delivers training, monitors performance, and drives risk mitigation in collaboration with cross-functional teams. It is a field-based, site-facing position requiring strong regulatory knowledge and relationship-building skills.
This PhD project involves tracking microbes across the biomass-to-biogas transmission pathways using genomics. The candidate will sample various compartments, perform metagenomics and culture-based analyses, and conduct controlled experiments to assess microbial hazards and biosecurity barriers in the Danish biogas sector.
This role involves pioneering research at the intersection of mathematics, machine learning, and biology, focusing on developing novel theoretical frameworks for large-scale foundation models trained on unique metagenomic data. The scientist will lead independent research directions, publish at top venues, and translate mathematical insights into AI models that generate novel biological sequences. The position emphasizes first-principles thinking, collaboration, and real-world impact in therapeutic discovery.
This role involves building and optimizing the machine learning systems that power frontier AI research in life sciences, focusing on distributed training, GPU acceleration, and scalable experiment infrastructure. The engineer will work deeply within the research team to enable rapid iteration on novel biological models using unique, large-scale datasets. The position emphasizes system reliability, performance optimization, and direct impact on scientific discovery through close collaboration with researchers and engineers.
Lead statistical work across clinical trials, developing protocols, analysis plans, and reporting while driving innovative trial designs and methodologies. Collaborate with cross-functional teams including clinical, regulatory, and programming to support data-driven decision-making in drug development. Engage with external stakeholders such as health authorities and scientific communities to advance quantitative sciences in a pharmaceutical context.
